Staff Software Engineer - AI Infrastructure

WHO WE ARE: MagicSchool is the premier generative AI platform for teachers. We're just over 2 years old, and more than 6 million teachers from all over the world have joined our platform. Join a top team at a fast growing company that is working towards real social impact. Make an account and try us out at our website and connect with our passionate community on our Wall of Love.

The Role

As a Staff Software Engineer for Agents Infrastructure, you'll architect and build the core systems that power MagicSchool's autonomous AI capabilities. You'll design the runtime, orchestration, and evaluation infrastructure that enables AI agents to plan, execute complex educational workflows, integrate with teaching tools, and operate safely in classroom environments.

This is a high-impact IC role where you'll influence the technical foundation of how AI agents operate across MagicSchool's platform, mentor engineers on agent systems, and ensure our agentic capabilities scale reliably for millions of educators.

What You'll Do

• Agent Runtime Architecture – Design and implement highly reliable agent orchestration systems, shared state management, memory systems, and multi-step workflow execution optimized for educational use cases.

• Tool Integration & Safety – Build secure, sandboxed execution environments for agent actions with robust isolation, monitoring, and safety controls appropriate for educational contexts.

• Evaluation & Reliability – Develop comprehensive evaluation frameworks for agent performance, safety assessments, A/B testing, and regression detection to ensure consistent quality in educational workflows.

• Platform Integration – Create unified interfaces for multiple LLM providers, integrate with educational tool ecosystems, and build connector frameworks for curriculum data and learning management systems.

• Cross-Functional Leadership – Partner with Product, Research, and Education teams to translate complex educational workflows into reliable agent capabilities from prototype to production.

• Technical Mentorship – Guide engineers on agent architecture patterns, evaluation methodologies, and best practices for building reliable autonomous systems.

• Performance Optimization – Optimize agent execution for cost, latency, and quality while maintaining the reliability standards required for educational environments.

What We're Looking For

• Deep Systems Experience – 7+ years building large-scale distributed systems with at least 2+ years in staff/senior roles. Experience with agent orchestration, workflow engines, or autonomous system infrastructure.

• Agent & AI Systems – Hands-on experience building agent applications with tool calling, context engineering, multi-step reasoning, or autonomous workflow orchestration. Familiarity with LLM integration patterns.

• Technical Stack – Strong coding skills in Python, TypeScript/Node.js, or Go. Experience with our stack (TypeScript, Node.js, PostgreSQL, NextJS, Supabase) or similar technologies.

• Infrastructure & Security – Working knowledge of containers, virtualization, sandboxing, and security patterns for multi-tenant systems. Experience with metrics, observability, and incident response.

• Educational Context Awareness – Understanding of or interest in educational workflows, privacy requirements (FERPA/COPPA), and safety considerations for AI in classroom environments.

• Leadership & Impact – Track record of architecting complex systems, mentoring engineers, and driving technical decisions that balance innovation with reliability.

Nice to Have

• Experience with agent evaluation frameworks, preference optimization, or reinforcement learning for improving agent reliability

• Familiarity with educational technology integrations, LMS systems, or EdTech compliance requirements

• Background in ML/AI infrastructure, model serving, or AI safety systems

• Experience with open protocols for tool connectivity (MCP-style connectors) or browser automation

• Security hardening experience for untrusted code execution or multi-tenant educational environments

Expectations

• Technical Leadership – Lead the architecture and implementation of MagicSchool's core agent infrastructure, maki